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Big Data Analytics Fresher Jobs (NOW HIRING)

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data' algorithmic platforms -- Job responsibilities include implementing the analytics infrastructure ...

idexcel

NJ · On-site

This role will be responsible for design and implementation of big data analysis application to support Client's device technology. Data integration from various data sources. Build web service API ...

krg technology inc

Big Data & Analytics Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

... Data & Analytics solutions Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a Data (including Big Data) solution ...

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

Big Data Analytics Process Location: Houston, TX Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA · On-site

$51.25 - $68/hr

Developing data analytics, data mining and reporting solutions using Teradata Aster and Hortonworks Hadoop. Working on projects that provide real-time and historical analysis, decision support ...

Tata Consultancy Services

Big data Developer

Jersey City, NJ · On-site

$58 - $75.25/hr

The role involves analyzing complex problems and evaluating business processes while utilizing various big data technologies. Responsibilities : • Development to analyze complex problems, evaluate ...

Motocol

Data analytics Architect

San Jose, CA

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Sonsoft Inc

Big Data

Chicago, IL · On-site

$57.50 - $76/hr

At least 4-5+ years application Big Data project implementation experience including requirements ... Analytical and problem solving skills * Ability to learn new technologies and business requirements ...

Kia America

Data & Analytics Specialist

Irvine, CA · On-site

The Specialist partners closely with Kia North America's Big Data team and other affiliate data analytics teams to develop models to support the department's analytical needs. This role is ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

... time analytics and business intelligent platforms Ability to understand the meaning and use of the data, as well as analyze the data quality Perform duties such as collecting, parsing, tagging ...

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

... time analytics and business intelligent platforms Ability to understand the meaning and use of the data, as well as analyze the data quality Perform duties such as collecting, parsing, tagging ...

Collabera

Lead Datawarehouse /Big Data

Torrance, CA

Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ... Oracle Big Data Appliance, Cloudera Hadoop * Expertise in Architecting, Administering, Developing ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

W2 contract We are seeking Big Data Engineer to join our Enterprise Data & Analytics team. In this role, you will design and implement cutting-edge data solutions to transform how we manage, process ...

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Big Data Analytics Fresher information

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How much do big data analytics fresher jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for big data analytics fresher in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a strict barrier for a Big Data Analytics Fresher or data science roles; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with certifications or projects demonstrating expertise. Employers value skills and experience over age, making it possible to start a data science career at 40 or older.

What are the key skills and qualifications needed to thrive as a Big Data Analytics Fresher, and why are they important?

To thrive as a Big Data Analytics Fresher, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools and platforms such as Hadoop, Spark, and SQL, as well as certifications like Google Data Analytics or Cloudera, is advantageous. Strong problem-solving abilities, analytical thinking, and effective communication skills help you interpret data insights and collaborate with teams. These competencies are crucial for efficiently handling large datasets, deriving actionable insights, and contributing value to data-driven decision-making processes.

What is the difference between Big Data Analytics Fresher vs Data Analyst?

AspectBig Data Analytics FresherData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; knowledge of big data toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentHandling large datasets using Hadoop, Spark; working with data engineers and data scientistsAnalyzing structured data; creating reports and dashboards; working with business teams
Industry UsageTech, finance, healthcare, e-commerce companies focusing on big data solutionsRetail, marketing, finance, and other sectors focusing on data-driven decision making

Big Data Analytics Fresher roles focus on processing and analyzing large-scale datasets using specialized tools like Hadoop and Spark, often in tech-driven industries. Data Analysts typically work with structured data, creating insights and reports for business decisions. While both roles require analytical skills, Big Data Analytics Fresher positions emphasize big data technologies, whereas Data Analysts focus more on data interpretation and visualization.

What are the typical challenges faced by a Big Data Analytics Fresher when starting in their first role?

As a Big Data Analytics Fresher, you may initially find it challenging to handle the sheer volume and complexity of data, as well as to learn new tools like Hadoop, Spark, or SQL-based systems. Adapting to fast-paced project deadlines and understanding business requirements for data analysis can also be demanding. However, you'll typically have access to structured onboarding, mentorship, and learning resources. Collaborating closely with senior analysts and data engineers will help you bridge knowledge gaps and gain confidence in tackling real-world data problems.

Can I get into data analytics with no experience?

Big Data Analytics roles often require some foundational knowledge of data analysis tools, programming languages like Python or R, and understanding of databases. While prior experience is helpful, beginners can enter the field by completing relevant courses, certifications, and building a portfolio of projects to demonstrate their skills.

How can a fresher get data analyst jobs?

A data analyst fresher can improve their chances by acquiring relevant skills such as SQL, Excel, and data visualization tools like Tableau or Power BI, along with a strong understanding of statistics. Building a portfolio of projects and earning certifications can demonstrate competence to employers. Internships or entry-level roles also provide valuable experience to start a career in data analysis.

Will AI replace big data?

Big Data Analytics Fresher roles involve analyzing large datasets to extract insights, and AI tools are increasingly used to automate data processing and pattern recognition. While AI can augment data analysis, it is unlikely to fully replace the need for human expertise in interpreting complex data and developing strategies. Skills in data management, programming, and understanding AI applications remain valuable in this field.

What are Big Data Analytics Freshers?

Big Data Analytics Freshers are entry-level professionals who have recently completed their education or training in big data analytics and are beginning their careers in the field. They typically have foundational knowledge of data analysis, programming languages such as Python or R, and familiarity with big data tools like Hadoop, Spark, or SQL. Their primary role is to assist in collecting, processing, and analyzing large volumes of data to help organizations make data-driven decisions. They often work under the guidance of experienced analysts and data scientists while gaining hands-on experience in real-world projects.
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Big Data Analytics Fresher jobs near you
Infographic showing various Big Data Analytics Fresher job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.

Big Data Analytics Developer

Arka Infotech Inc

Saint Louis, MO

$51.50 - $66.75/hr

Contractor

Re-posted 21 days ago

Job description

Job Description

Big Data / Analytics Developer
12 Months+
St. Louis, Missouri
08-03-2015
Senior Big Data Analytics Developer w/proven experience developing 'Big Data' algorithmic platforms -- job responsibilities include implementing the analytics infrastructure, data integration with both streaming and batch sources, efficient distributed processing, and managing predictive analytics models. Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as Java and Clojure. Must have a strong understanding of data modeling in both Remote Procedure Call (RPC) and Representational State Transfer (REST).
My client is currently building a cloud-based analytics platform using open source and SaaS tools--should have experience with Apache Kafka and Samza. Candidate should have a strong understanding of Test-Driven Development, Agile Methodologies, Continuous Integration, and Continuous Deployment--along with analytics techniques such as Machine Learning and Bayesian Methods. Must be familiar with NoSQL on the back end.

Qualifications

BS Degree

Additional Information

All your information will be kept confidential according to EEO guidelines.

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